Dynamo

DeCandia, Giuseppe; Hastorun, Deniz; Jampani, Madan; Kakulapati, Gunavardhan; Lakshman, Avinash; Pilchin, Alex; Sivasubramanian, S.; Vosshall, Peter; Vogels, Werner

doi:10.1145/1294261.1294281

Cited by 1,985 publications

(112 citation statements)

References 19 publications

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“…A consequence of this comparatively broad definition of "serverless" is that the term does not only include FaaS, but encompasses various other kinds of hosted cloud services, many of which predate FaaS substantially (including hosted database technologies, such as DynamoDB [13]). In fact, many early definitions of cloud computing used the same principle of "servers as utility" as the defining feature of clouds [14].…”

Section: Study Resultsmentioning

confidence: 99%

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Leitner

Wittern

Spillner

et al. 2018

Preprint

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Function-as-a-Service (FaaS) describes cloud computing services that make infrastructure components transparent to application developers, thus falling in the larger group of "serverless" computing models. When using FaaS offerings, such as AWS Lambda, developers provide atomic and short-running code for their functions, and FaaS providers execute and horizontally scale them on-demand. Currently, there is no systematic research on how developers use serverless, what types of applications lend themselves to this model, or what architectural styles and practices FaaS-based applications are based on. We present results from a mixed-method study, combining interviews with advanced practitioners, a systematic analysis of grey literature, and a Web-based survey. We find that successfully adopting FaaS requires a different mental model, where systems are primarily constructed by composing pre-existing services, with FaaS often acting as the "glue" that brings these services together. Tooling availability and maturity, especially related to testing and deployment, remains a major difficulty. Further, we find that current FaaS systems lack systematic support for function reuse, and abstractions and programming models for building non-trivial FaaS applications are limited. We conclude with a discussion of implications for FaaS providers, software developers, and researchers.

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Section: Study Resultsmentioning

confidence: 99%

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Leitner

Wittern

Spillner

et al. 2018

Preprint

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show abstract

“…Pnuts tables are horizontally partitioned and each partition named tablets is no bigger than 1Gbyte. Other systems like Dynamo [19] and Cassandra [42] use an even simpler data access. Dynamo is used only by Amazon's internal services.…”

Section: Data Manipulation Languages Without Relational Operatorsmentioning

confidence: 99%

Big Data Management in the Cloud: Evolution or Crossroad?

Hameurlain

Morvan

2016

Communications in Computer and Information Science

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract. In this paper, we try to provide a synthetic and comprehensive state of the art concerning big data management in cloud environments. In this perspective, data management based on parallel and cloud (e.g. MapReduce) systems are overviewed, and compared by relying on meeting software requirements (e.g. data independence, software reuse), high performance, scalability, elasticity, and data availability. With respect to proposed cloud systems, we discuss evolution of their data manipulation languages and we try to learn some lessons should be exploited to ensure the viability of the next generation of large-scale data management systems for big data applications.

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“…Dynamo [9] is a highly available, scalable key-value store implemented by Amazon. Data is distributed using consistent hashing [13].…”

Section: Dynamomentioning

confidence: 99%

Database high availability using SHADOW systems

Kim

Salem

Daudjee

et al. 2015

Proceedings of the Sixth ACM Symposium on Cloud Computing

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Various High Availability DataBase systems (HADB) are used to provide high availability. Pairing an active database system with a standby system is one commonly used HADB techniques. The active system serves read/write workloads. One or more standby systems replicate the active and serve read-only workloads. Though widely used, this technique has some significant drawbacks: The active system becomes the bottleneck under heavy write workloads. Replicating changes synchronously from the active to the standbys further reduces the performance of the active system. Asynchronous replication, however, risk the loss of updates during failover. The shared-nothing architecture of active-standby systems is unnecessarily complex and cost inefficient.In this thesis we present SHADOW systems, a new technique for database high availability. In a SHADOW system, the responsibility for database replication is pushed from the database systems into a shared, reliable, storage system. The active and standby systems share access to a single logical copy of the database, which resides in shared storage. SHADOW introduces write offloading, which frees the active system from the need to update the persistent database, placing that responsibility on the underutilized standby system instead. By exploiting shared storage, SHADOW systems avoid the overhead of database-managed synchronized replication, while ensuring that no updates will be lost during a failover. We have implemented a SHADOW system using PostgreSQL, and we present the results of a performance evaluation that shows that the SHADOW system can outperform both traditional synchronous replication and standalone PostgreSQL systems.iii

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Dynamo

Cited by 1,985 publications

References 19 publications

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

A mixed-method empirical study of Function-as-a-Service software development in industrial practice

Big Data Management in the Cloud: Evolution or Crossroad?

Database high availability using SHADOW systems

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